ML Research Associate: Deep Variational & Decentralized (Flexible)

Macquarie University

Sydney

On-site

AUD 104,000 - 113,000

Full time

3 days ago
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Benefits offered by this job

17% Superannuation
Subsidised onsite parking options
Flexible working options
Training and professional development
Discounted health insurance
Employee Assistance Program
Subsidised membership at Sport & Aqua1

Job summary

Macquarie University is seeking a highly motivated research associate to advance foundational AI research in deep variational and decentralized learning at the AI Lab and Frontier AI Research Centre. You will develop models, perform analyses, and publish results in top venues.

The role involves coordinating a research team, collaborating with international partners, and contributing to high-profile grants. A Master by Research or higher in AI/ML is required.

Qualifications

  • Master by Research or higher in AI, data science, ML or related areas.
  • Demonstrated experience coordinating a research team and assisting research leaders.
  • Evidence of outputs in applied statistics, machine learning, optimization, information theory, visualization.

Responsibilities

  • Develop fundamental models for deep variational and decentralized learning.
  • Conduct modelling, analytical and visualization tasks.
  • Publish findings in top-tier venues and contribute to a focused AI research program.

Skills

Research experience
Team coordination
Applied statistics
Machine learning
Visualization
Information theory

Education

Master by Research or higher in AI/ML

Job description

Macquarie University is seeking a highly motivated research associate to advance foundational AI research in deep variational and decentralized learning at the AI Lab and Frontier AI Research Centre. You will develop models, perform analyses, and publish results in top venues.

The role involves coordinating a research team, collaborating with international partners, and contributing to high-profile grants. A Master by Research or higher in AI/ML is required.

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